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dc.contributor.advisorAlam, A.M.Esfar-E-
dc.contributor.authorHassan, Mehedi
dc.contributor.authorRahman, S.M. Mushfiqur
dc.contributor.authorSobhani, Shadman
dc.date.accessioned2024-04-25T05:33:13Z
dc.date.available2024-04-25T05:33:13Z
dc.date.copyright2023
dc.date.issued2023-07
dc.identifier.otherID 17101402
dc.identifier.otherID 16101040
dc.identifier.otherID 16301064
dc.identifier.urihttp://hdl.handle.net/10361/22676
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (page 17).
dc.description.abstractIn the modern time due to increasing global warming, the change of weather patterns and increase in pollution, the amount of crop production has been adversely affected. While on the other hand farmers trying to prevent this have been starting to use harmful fertilizers, insecticides and better growing crops. While doing that farmers are decreasing the soil fertility at an unnatural fast rate and making agricultural products that are becoming more and more harmful for human consumption in the long run. This has been having harmful effects on the human body like heart, liver and pancreatic problems or decrease in both male and female fertility. Bangladesh is a small riverain country with the staple food production of rice. It is the most commonly consumed food among the people. We believe that by analyzing the weather pattern of the previous years and analyzing the soil fertility with modern technologies it is possible to tackle the problems while making a cheaper investment by the farmers in the land on natural fertilizers and less pesticides. This paper intends to focus on the development of crop production in the agricultural field through comparing soil test data and weather conditions. The analysis of parameters can be proven to be accurate and less time-consuming as compared to traditional approaches. Moreover, the prediction can help the farmer to know the number of crops that can be grown in the next session.en_US
dc.description.statementofresponsibilityMehedi Hassan
dc.description.statementofresponsibilityS.M. Mushfiqur Rahman
dc.description.statementofresponsibilityShadman Sobhani
dc.format.extent17 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectWeather patternsen_US
dc.subjectPollutionen_US
dc.subjectCrop productionen_US
dc.subjectHarmful fertilizersen_US
dc.subjectInsecticidesen_US
dc.subjectSoil fertilityen_US
dc.subjectAgricultural productsen_US
dc.subjectHuman consumptionen_US
dc.subjectHealth effectsen_US
dc.subjectRice productionen_US
dc.subjectWeather pattern analysisen_US
dc.subjectSoil test dataen_US
dc.subjectNatural fertilizersen_US
dc.subjectPredictionen_US
dc.titlePrediction of production rate for cultivable land correlating soil quality parameters and weather conditionen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB.Sc. in Computer Science


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